Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.4150  0.0026  0.0828  0.3923  0.4622  0.42
Anderszewski 2003   15  0.4225  0.0013  0.1210  0.585  0.707  0.64
Ashkenazy 1981   2  0.552  0.082  0.292  0.7715  0.751  0.76
Bacha 2000   27  0.3818  0.0127  0.0718  0.459  0.5616  0.50
Badura 1965   13  0.436  0.045  0.158  0.621  0.772  0.69
Barbosa 1983   49  0.3155  0.0052  0.0549  0.0542  0.1358  0.08
Biret 1990   87  0.1183  0.0087  0.0468  0.0474  0.0481  0.04
Blet 2003   55  0.3066  0.0071  0.0381  0.0355  0.0768  0.05
Block 1995   28  0.3758  0.0021  0.0819  0.4530  0.4221  0.43
Blumental 1952   20  0.418  0.028  0.129  0.626  0.715  0.66
Boshniakovich 1969   39  0.357  0.0320  0.0821  0.4328  0.4223  0.42
Brailowsky 1960   47  0.3212  0.0134  0.0736  0.2515  0.5827  0.38
Bunin 1987   62  0.2831  0.0068  0.0554  0.0558  0.0672  0.05
Bunin 1987b   61  0.2847  0.0067  0.0462  0.0456  0.0665  0.05
Chiu 1999   8  0.4754  0.0019  0.0920  0.4337  0.2731  0.34
Cohen 1997   64  0.2887  0.0078  0.0378  0.0342  0.1759  0.07
Cortot 1951   75  0.2351  0.0081  0.0377  0.0344  0.1262  0.06
Csalog 1996   73  0.2452  0.0075  0.0383  0.0353  0.0680  0.04
Czerny 1949   68  0.2613  0.0166  0.0371  0.0338  0.4250  0.11
Czerny 1990   7  0.4810  0.019  0.106  0.6416  0.743  0.69
Duchoud 2007   50  0.3161  0.0056  0.0557  0.0565  0.0570  0.05
Ezaki 2006   40  0.3481  0.0045  0.0645  0.1127  0.4639  0.22
Falvay 1989   14  0.434  0.0511  0.1126  0.415  0.5617  0.48
Farrell 1958   33  0.3742  0.0035  0.0733  0.329  0.5325  0.41
Ferenczy 1958   59  0.2826  0.0062  0.0373  0.0319  0.7144  0.15
Fliere 1977   4  0.5216  0.016  0.164  0.6824  0.616  0.64
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   82  0.2063  0.0082  0.0384  0.0354  0.0683  0.04
Friedman 1923   37  0.3522  0.0037  0.0735  0.2643  0.2837  0.27
Friedman 1923b   43  0.3448  0.0042  0.0741  0.1944  0.2342  0.21
Friedman 1930   51  0.3034  0.0057  0.0463  0.0454  0.0669  0.05
Garcia 2007   60  0.2884  0.0051  0.0747  0.0743  0.1751  0.11
Garcia 2007b   70  0.2649  0.0065  0.0460  0.0452  0.0775  0.05
Gierzod 1998   34  0.3620  0.0025  0.0723  0.4215  0.6414  0.52
Gornostaeva 1994   69  0.2667  0.0080  0.0467  0.0449  0.0773  0.05
Groot 1988   29  0.3764  0.0043  0.0742  0.1847  0.0949  0.13
Harasiewicz 1955   21  0.4160  0.0031  0.0931  0.3633  0.2436  0.29
Hatto 1993   16  0.4268  0.0023  0.1029  0.3736  0.2535  0.30
Hatto 1997   44  0.3443  0.0050  0.0746  0.0740  0.1553  0.10
Horowitz 1949   77  0.2372  0.0073  0.0376  0.0363  0.0579  0.04
Indjic 1988   36  0.3573  0.0049  0.0558  0.0552  0.0861  0.06
Kapell 1951   30  0.3739  0.0029  0.0927  0.3924  0.3630  0.37
Kissin 1993   17  0.4259  0.0012  0.1213  0.5317  0.6510  0.59
Kushner 1989   9  0.4737  0.0014  0.1211  0.5711  0.5811  0.57
Luisada 1991   38  0.3517  0.0138  0.0740  0.2144  0.2240  0.21
Lushtak 2004   24  0.3832  0.0018  0.0917  0.457  0.5915  0.52
Malcuzynski 1961   26  0.3819  0.0136  0.0737  0.2335  0.2041  0.21
Magaloff 1978   58  0.2915  0.0144  0.0744  0.1445  0.1247  0.13
Magin 1975   72  0.2438  0.0069  0.0465  0.0446  0.1060  0.06
Michalowski 1933   76  0.2374  0.0074  0.0386  0.0356  0.0767  0.05
Milkina 1970   63  0.2875  0.0064  0.0461  0.0439  0.2352  0.10
Mohovich 1999   57  0.2965  0.0058  0.0464  0.0456  0.0671  0.05
Moravec 1969   23  0.3924  0.0032  0.1030  0.3617  0.4724  0.41
Morozova 2008   3  0.523  0.063  0.213  0.697  0.644  0.66
Neighaus 1950   46  0.3244  0.0047  0.0550  0.0565  0.0574  0.05
Niedzielski 1931   32  0.3721  0.0041  0.0643  0.1545  0.1248  0.13
Ohlsson 1999   18  0.4114  0.0115  0.1115  0.4818  0.4519  0.46
Osinska 1989   84  0.1888  0.0085  0.0372  0.0378  0.0384  0.03
Pachmann 1927   53  0.3011  0.0139  0.0738  0.2339  0.2938  0.26
Paderewski 1930   71  0.2545  0.0059  0.0374  0.0350  0.0766  0.05
Perlemuter 1992   42  0.3430  0.0040  0.0639  0.2336  0.4234  0.31
Pierdomenico 2008   56  0.3076  0.0072  0.0375  0.0355  0.0577  0.04
Poblocka 1999   25  0.389  0.0110  0.1116  0.4614  0.4618  0.46
Rabcewiczowa 1932   79  0.2289  0.0077  0.0287  0.0245  0.1364  0.05
Rachmaninoff 1923   48  0.3156  0.0053  0.0555  0.0539  0.1855  0.09
Rangell 2001   31  0.3740  0.0030  0.0922  0.4213  0.4820  0.45
Richter 1976   10  0.4723  0.0016  0.1212  0.5532  0.5813  0.56
Rosen 1989   22  0.4027  0.0024  0.0924  0.4236  0.3529  0.38
Rosenthal 1930   45  0.3369  0.0048  0.0551  0.0522  0.4545  0.15
Rosenthal 1931   65  0.2746  0.0046  0.0648  0.0619  0.5943  0.19
Rosenthal 1931b   74  0.2477  0.0054  0.0459  0.0426  0.5046  0.14
Rosenthal 1931c   80  0.2171  0.0079  0.0382  0.0366  0.0487  0.03
Rosenthal 1931d   86  0.1478  0.0076  0.0380  0.0336  0.3154  0.10
Rossi 2007   89  0.0090  0.0089  0.0189  0.0184  0.0388  0.02
Rubinstein 1939   35  0.3633  0.0033  0.0934  0.3014  0.3932  0.34
Rubinstein 1952   78  0.2262  0.0061  0.0370  0.0363  0.0582  0.04
Rubinstein 1966   6  0.485  0.054  0.225  0.654  0.638  0.64
Schilhawsky 1960   85  0.1785  0.0084  0.0385  0.0365  0.0486  0.03
Shebanova 2002   5  0.5036  0.007  0.197  0.6327  0.579  0.60
Smith 1975   83  0.2057  0.0086  0.0553  0.0556  0.0563  0.05
Sokolov 2002   81  0.2153  0.0083  0.0379  0.0370  0.0385  0.03
Sztompka 1959   12  0.4529  0.0022  0.0725  0.4228  0.4126  0.41
Tomsic 1995   54  0.3070  0.0063  0.0369  0.0355  0.0578  0.04
Uninsky 1932   11  0.4535  0.0017  0.1114  0.5136  0.2928  0.38
Uninsky 1971   41  0.3428  0.0028  0.0832  0.3529  0.3033  0.32
Wasowski 1980   52  0.3041  0.0060  0.0466  0.0463  0.0576  0.04
Zak 1937   66  0.2779  0.0055  0.0552  0.0540  0.1856  0.09
Zak 1951   67  0.2782  0.0070  0.0556  0.0542  0.1357  0.08
Average   1  0.611  0.511  0.501  0.8425  0.3912  0.57
Random 1   91  -0.0186  0.0090  0.0190  0.0173  0.0390  0.02
Random 2   88  0.0080  0.0088  0.0288  0.0274  0.0389  0.02
Random 3   90  -0.0191  0.0091  0.0191  0.0158  0.0391  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).